On the interpretations of joint modeling in community ecology G Poggiato, T Münkemüller, D Bystrova, J Arbel, JS Clark, W Thuiller Trends in Ecology & Evolution 36 (5), 391-401, 2021 | 97 | 2021 |
Novel methods to correct for observer and sampling bias in presence‐only species distribution models Y Chauvier, NE Zimmermann, G Poggiato, D Bystrova, P Brun, W Thuiller Global Ecology and Biogeography 30 (11), 2312-2325, 2021 | 27 | 2021 |
Clustering species with residual covariance matrix in joint species distribution models D Bystrova, G Poggiato, B Bektaş, J Arbel, JS Clark, A Guglielmi, ... Frontiers in Ecology and Evolution 9, 601384, 2021 | 12 | 2021 |
Approximating the clusters' prior distribution in Bayesian nonparametric models D Bystrova, J Arbel, GKK King, F Deslandes AABI 2020-3rd Symposium on Advances in Approximate Bayesian Inference, 1-16, 2021 | 5 | 2021 |
Bayesian mixture models (in) consistency for the number of clusters L Alamichel, D Bystrova, J Arbel, GKK King arXiv preprint arXiv:2210.14201, 2022 | 4 | 2022 |
Latent factor models: a tool for dimension reduction in joint species distribution models D Bystrova, G Poggiato, J Arbel, W Thuiller | 2 | 2021 |
Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series CK Assaad, D Bystrova, J Arbel, E Devijver, E Gaussier, W Thuiller arXiv preprint arXiv:2306.08765, 2023 | 1 | 2023 |
Bayesian block-diagonal graphical models via the Fiedler prior J Arbel, M Beraha, D Bystrova SFdS-52 Journées de Statistique de la Société Francaise de Statistique, 1-6, 2021 | 1 | 2021 |
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms D Bystrova, CK Assaad, J Arbel, E Devijver, E Gaussier, W Thuiller arXiv e-prints, arXiv: 2306.08765, 2023 | | 2023 |
Réduction de la dimension dans les modèles de distributions jointes d’espèces D BYSTROVA, G POGGIATO, J ARBEL, W THUILLER Approches statistiques pour les variables cachées en écologie, 151, 2022 | | 2022 |
On the consistency of Bayesian nonparametric mixtures for the number of clusters L Alamichel, D Bystrova, J Arbel, GKK King ISBA 2022-World Meeting International Society for Bayesian Analysis, 2022 | | 2022 |
Bayesian nonparametric mixtures inconsistency for the number of clusters L Alamichel, J Arbel, D Bystrova, GKK King 53es journées de Statistiques, 2022 | | 2022 |
Bekta s B, Arbel J, Clark JS, Guglielmi A and Thuiller W (2021) Clustering Species With Residual Covariance Matrix in Joint Species Distribution Models D Bystrova, G Poggiato Front. Ecol. Evol. 9: 601384. doi: 10.3389/fevo, 2021 | | 2021 |
Contributed comment on Article by Hahn, Murray, and Carvalho D Bystrova, J Arbel, T Rahier | | 2021 |